Senior AI Engineer I - Global Dining

Joining Amex Tech means discovering and shaping your contribution to something

big. Here, you can work alongside talented technology teams and build a unique

career with the Powerful Backing of American Express. With opportunities to work

with the latest technologies and a commitment to supporting the broader

engineering community, our mission is to power your success. Amex Tech is

powered by our technology, our culture, and our colleagues.

The U.S. Consumer Services and Membership Digital Experiences Technology team

(USCDT) brings together foundational strategic technology capabilities across

digital experience engineering, marketing and advertising technology, enterprise

communications, travel and lifestyle, and dining technology. The organization

builds customer-facing capabilities that deepen digital engagement as well as

core technology platforms that span business lines and customer segments.

American Express Global Dining brings together world-class experiences through

platforms such as Resy, Tock, and Rooam, creating seamless connections between

diners, restaurants, and the broader American Express Membership ecosystem. Our

mission is to define the future of hospitality and dining through technology,

data, and design.

As part of Team Amex, you’ll have the support, flexibility, and autonomy to make

an impact while helping shape the future of how people discover, book, and enjoy

dining experiences worldwide.

At American Express, AI is reshaping the future of commerce and redefining the

experiences our customers, merchants, and Card Members expect. Within Global

Dining, housed within Amex Technology, we are applying AI to reimagine how

diners discover and experience restaurants, how restaurants engage and serve

their guests, and how our colleagues build and operate the platforms behind

those experiences.

Our focus is increasingly on agentic AI: intelligent systems capable of

understanding context, reasoning, planning, using tools, and taking actions

across complex workflows with appropriate levels of autonomy. These capabilities

have the potential to transform dining discovery, reservations, restaurant

operations, customer servicing, and the engineering systems that power the

Global Dining ecosystem.

We are building these capabilities with the reliability, security,

explainability, observability, and governance required to operate AI at American

Express scale.

THE ROLE

As a Senior AI Engineer – Agentic AI, Global Dining, you will be a hands-on

engineer responsible for designing, building, integrating, and operating

AI-powered capabilities across the Global Dining ecosystem.

You will develop production AI systems that apply large language models,

retrieval, tools, orchestration, machine learning, and generative AI to

real-world customer, restaurant, and platform workflows. You will work across

the AI application stack—from LLMs, retrieval and agent orchestration to APIs,

data pipelines, evaluations, observability, and production infrastructure.

This is a deeply hands-on engineering role. You will write production code,

prototype emerging approaches, contribute to technical designs, and take AI

capabilities from experimentation through deployment, monitoring, and continuous

improvement. You will collaborate with engineers across teams to integrate AI

models and intelligent services into existing production systems while meeting

both technical and business requirements.

As a Senior Engineer, you will provide technical guidance within the team,

contribute to engineering standards and reusable patterns, mentor junior

engineers, and help foster a culture of engineering excellence and innovation.

You will apply advanced expertise in AI engineering while continuing to develop

breadth across adjacent technical domains.

You will partner closely with Product, Design, Data, Information Security, Risk,

Compliance, and other engineering teams to translate business and customer needs

into responsible, scalable AI solutions.

TECHNICAL ENVIRONMENT:

We do not hire against a narrow technology checklist. We are looking for

engineers with strong software engineering fundamentals who are excited about

solving difficult problems at the intersection of AI, distributed systems, and

customer-facing products.

CORE ENGINEERING STACK:

• Languages: Python, Go, TypeScript

• Cloud and infrastructure: AWS and/or GCP, Kubernetes

• Tools and Platform: LangGraph, LangChain, Docker

• APIs and services: REST, gRPC

• Distributed systems: event-driven architectures, including Kafka

• Data processing technologies and frameworks for large-scale data pipelines

AGENTIC AI AND ML:

• Commercial and open-source LLMs integrated into production applications and

agentic workflows

• Tooling for agent orchestration, retrieval-augmented generation, vector

storage, and evaluation

• Prompt engineering, context management, structured generation, and model

evaluation

• Machine learning and natural language processing techniques, including

Transformer-based models and their real-world applications

• Schema validation and structured data handling

• Machine learning operations tooling for model deployment, monitoring, and

maintenance

AI-ASSISTED DEVELOPMENT:

• Use of AI-assisted and agentic development tools for design,

implementation, testing, debugging, and refactoring

• Learning how to apply these tools responsibly while maintaining

production-quality standards

• All systems are built to meet high standards for reliability, security, and

auditability, reflecting the responsibility of deploying autonomous AI in a

financial services environment

RESPONSIBILITIES

* Design, build, and operate scalable production AI systems integrating ML

models, LLMs, retrieval systems, and intelligent services.

* Develop core GenAI and agentic capabilities, including RAG, agent/workflow

orchestration, tool integrations, context management, structured outputs, and

evaluation frameworks.

* Integrate AI capabilities into existing production systems, partnering across

engineering teams to meet technical, product, and business requirements.

* Own the end-to-end production lifecycle of AI capabilities, including

implementation, testing, deployment, monitoring, evaluation, maintenance, and

continuous improvement.

* Build robust AI evaluation and safety mechanisms, including offline

evaluation, regression testing, task-success measurement, model/prompt

comparison, guardrails, permissions, validation, and graceful

failure/recovery.

* Design for production-scale requirements, including latency, throughput,

availability, scalability, security, observability, cost, model variability,

and failure modes.

* Translate customer, restaurant, and business needs into AI solutions,

partnering with Product, Design, Data, and business teams to identify

high-value applications across dining discovery, reservations, hospitality

workflows, and servicing.

* Evaluate emerging models, frameworks, and AI technologies and help determine

appropriate technical approaches for Global Dining.

* Establish reusable AI engineering patterns and standards, including reference

implementations and best practices for LLM and agentic systems.

* Provide technical leadership and mentorship through architecture/design

reviews, code reviews, hands-on collaboration, and guidance to other

engineers.

QUALIFICATIONS

* Bachelor’s degree in Computer Science, Machine Learning, Data Science,

Computer Engineering, a related technical field, or equivalent practical

experience; advanced degree preferred.

* Significant software engineering experience building and operating production

AI/ML systems, including generative AI, LLM applications, or agentic systems.

* Strong proficiency in Python and experience with one or more additional

languages such as Go, TypeScript, or Java.

* Strong understanding of modern AI architectures and techniques, including

LLMs, NLP, retrieval/RAG, tool calling, structured generation, context

management, orchestration, and evaluation.

* Experience integrating commercial or open-source LLMs into real-world

applications.

* Experience designing scalable, distributed, API-driven systems and production

services, with strong knowledge of reliability, latency, security,

observability, cost, and performance optimization.

* Experience building data pipelines and ETL processes using Spark, Hadoop, or

comparable modern data-processing frameworks.

* Experience deploying and operating AI models and pipelines using MLOps,

CI/CD, and containerized infrastructure.

* Demonstrated end-to-end ownership of production systems, from architecture

and implementation through deployment, monitoring, and maintenance.

* Ability to navigate ambiguous technical problems, make pragmatic engineering

decisions, and translate emerging AI capabilities into reliable customer

experiences.

* Experience mentoring engineers and improving engineering quality through

design reviews, code reviews, documentation, and hands-on collaboration.

* Strong communication and cross-functional collaboration skills, with the

ability to translate business requirements and complex technical concepts for

technical and non-technical audiences.

* Deep expertise in at least one technical domain, with the ability to develop

expertise across adjacent areas.

* Strong customer mindset and interest in applying AI to meaningful real-world

experiences.

* Depending on factors such as business unit requirements, the nature of the

position, cost and applicable laws, American Express may provide visa

sponsorship for certain positions

At American Express, our culture is built on a 175-year history of

innovation, shared values

[https://www.americanexpress.com/en-us/company/who-we-are/]and Leadership

Behaviors, and an unwavering commitment to back our customers, communities, and

colleagues. From delivering differentiated products to providing world-class

customer service, we operate with a strong risk mindset, ensuring we continue to

uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive

support for your holistic well-being and many opportunities to learn new skills,

develop as a leader, and grow your career. Here, your voice and ideas matter,

your work makes an impact, and together, you will help us define the future of

American Express.

We back you with benefits that support your holistic well-being so you can be

and deliver your best. This means caring for you and your loved ones' physical,

financial, and mental health, as well as providing the flexibility you need to

thrive personally and professionally:

* Competitive base salaries

* Bonus incentives

* 6% Company Match on retirement savings plan

* Free financial coaching and financial well-being support

* Comprehensive medical, dental, vision, life insurance, and disability

benefits

* Flexible working model with hybrid, onsite or virtual arrangements depending

on role and business need

* 20+ weeks paid parental leave for all parents, regardless of gender, offered

for pregnancy, adoption or surrogacy

* Free access to global on-site wellness centers staffed with nurses and

doctors (depending on location)

* Free and confidential counseling support through our Healthy Minds program

* Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site

[https://www.americanexpress.com/en-us/colleagues/benefits].

American Express is an equal opportunity employer and makes employment decisions

without regard to race, color, religion, sex, sexual orientation, gender

identity, national origin, veteran status, disability status, age, or any other

status protected by law. American Express will consider for employment all

qualified applicants, including those with arrest or conviction records, in

accordance with the requirements of applicable state and local laws, including

the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for

Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring

Ordinance. For positions covered by federal and/or state banking regulations,

American Express will comply with such regulations as it relates to the

consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and

personally. That's why we have Amex Flex, our enterprise working model that

provides greater flexibility to colleagues while ensuring we preserve the

important aspects of our unique in-person culture. Depending on role and

business needs, colleagues will either work onsite, in a hybrid model

(combination of in-office and virtual days) or fully virtually.

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The below represents the expected salary range for this job requisition.

Ultimately, in determining your pay, we’ll consider your location, experience,

and other job-related factors.